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For questions related to neuroevolution (or neuro-evolution) techniques, such as NEAT, that are used to evolve (or train) artificial neural networks (that is, they are used evolve their parameters or topology), inspired by the natural evolution. A neuroevolution algorithm is thus an evolutionary algorithm where the genomes (individuals or chromosomes) are artificial neural networks.

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Order of operations on sparse recurrent network alters the output. How to deal with it?

I believe NEAT just loops through the nodes in the order they appear in a list. Looking at the source (.cpp) and removing time features it looks like this in JS: do{ // For each node, compute the …
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